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Proceedings Paper

Temporal Aspects Of Modeling System Behavior
Author(s): Lee A. Appelbaum; Thomas C. Fall
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Paper Abstract

Systems that the authors have developed and delivered determine behavior by utilizing evidence which is uncertain and spread over time. The systems match data to templates of behavior to pick out a thread of activity which matches the evidence. By choosing those threads which are most supported, the systems can predict future activity. Hypotheses about groups of entities can be formed by selecting one thread for each entity of the group. The impact of constraints on groups can thus be evaluated out into the future. This paper describes the effort in building these systems and reviews the lessons learned. The thrust of the discussion is centered on behavior models, the templates which model a system's activity. The methods and representations we employ for temporal reasoning are actually consequences of these behavior models. We also discuss how such systems can easily be expanded to operate on less rigidly defined behavior patterns.

Paper Details

Date Published: 11 May 1987
PDF: 7 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940647
Show Author Affiliations
Lee A. Appelbaum, Advanced Decision Systems (United States)
Thomas C. Fall, Advanced Decision Systems (United States)


Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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